Journal article
Channel-level resource allocation decision in multichannel retailing: A U.S. multichannel company application
Journal of retailing and consumer services, v 63, 102679
Nov 2021
Abstract
The purpose of this paper is to explore the managerial implications of a customer-driven resource allocation methodology in multichannel retailing. A new resource allocation metric is proposed to measure the value of each channel structure in a company with multiple channels. In addition, we have validated the model by implementing it in a multichannel company. The prescriptive model proposed in this research, therefore, contributes to filling the literature gap in four main areas: (1) It incorporates market segment, customer wants, channel operating costs, and interrelationships among channels for effective resource allocation decisions. (2) The model is flexible to include omnichannel options as an alternative (e.g., buy-online-pickup-in-store). (3) It includes operating costs and customer perspectives together to evaluate the channel structures. (4) This study uses a real-world case study approach to implement the proposed model in a U.S. multichannel company producing scientific, biotechnology cameras. The feedback from the managers who participated in the budget allocation process confirmed the utility of this approach.
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Details
- Title
- Channel-level resource allocation decision in multichannel retailing: A U.S. multichannel company application
- Creators
- Yasamin Salmani - Bryant UniversityFariborz Y. Partovi - Drexel University
- Publication Details
- Journal of retailing and consumer services, v 63, 102679
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000696735000022
- Scopus ID
- 2-s2.0-85109502312
- Other Identifier
- 991019168798304721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Business